App: Overworld (overworld.pinokio.git) Repo: https://github.com/cocktailpeanut/overworld.pinokio.git Generated: 2026-08-26T18:05:41.831Z Pinokio: 8.0.40 Platform: win32 x64 Node: v22.21.1 ## Summary ## System ```json { "pinokio": { "version": "8.0.40", "node": "v22.21.1", "platform": "win32", "arch": "x64" }, "hardware": { "gpu": "nvidia", "gpu_model": "nvidia geforce rtx 2080", "ram_gb": 32, "vram_gb": 8 }, "os": { "platform": "Windows", "distro": "Microsoft Windows 11 Home", "release": "10.0.26200", "codename": "25H2", "kernel": "10.0.26200", "arch": "x64", "build": "26200", "servicepack": "0.0", "uefi": true }, "system": { "manufacturer": "ASUS", "model": "System Product Name", "version": "System Version", "virtual": false }, "cpu": { "manufacturer": "Intel", "brand": "Core™ i9-9900K", "vendor": "GenuineIntel", "family": "6", "model": "158", "stepping": "12", "speed": 3.6, "speedMin": 3.6, "speedMax": 3.6, "cores": 16, "physicalCores": 8, "processors": 1, "performanceCores": 16, "efficiencyCores": 0, "virtualization": true, "cache": { "l1d": 256, "l1i": 256, "l2": 2097152, "l3": 16777216 } }, "memory": { "total": 34266476544, "free": 23887851520, "used": 10378629120, "active": 10378633216, "available": 23887839232, "buffers": 0, "cached": 0, "slab": 0, "buffcache": 0, "swaptotal": 3491758080, "swapused": 257949696, "swapfree": 3233808384 }, "gpus": [ { "model": "nvidia geforce rtx 2080" } ], "graphics": { "controllers": [ { "vendor": "NVIDIA", "model": "NVIDIA GeForce RTX 2080", "bus": "PCI", "vram": 8192, "vramDynamic": false, "driverVersion": "610.47" } ], "displays": [ { "model": "VG59QM", "main": true, "builtin": false, "connection": "DP", "currentResX": 1920, "currentResY": 1080, "resolutionX": 1920, "resolutionY": 1080, "pixelDepth": 32, "currentRefreshRate": 279 }, { "model": "VA719-K", "main": false, "builtin": false, "connection": "HDMI", "currentResX": 1920, "currentResY": 1080, "resolutionX": 1920, "resolutionY": 1080, "pixelDepth": 32, "currentRefreshRate": 279 } ] } } ``` ## Logs ### logs/api/install.js/1787760478216 Source: api / install.js Lines: 14 total, last 14 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git clone --filter=blob:none --no-checkout https://github.com/Overworldai/Biome.git biome Cloning into 'biome'... remote: Enumerating objects: 4837, done. remote: Counting objects: 100% (905/905), done. remote: Compressing objects: 100% (167/167), done. remote: Total 4837 (delta 763), reused 744 (delta 737), pack-reused 3932 (from 2) Receiving objects: 100% (4837/4837), 684.81 KiB | 1.95 MiB/s, done. Resolving deltas: 100% (3171/3171), done. (base) C:\pinokio\api\overworld.pinokio.git\app> ``` ### logs/api/install.js/1787760486729 Source: api / install.js Lines: 9 total, last 9 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git fetch origin main From https://github.com/Overworldai/Biome * branch main -> FETCH_HEAD (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787760495173 Source: api / install.js Lines: 7 total, last 7 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git sparse-checkout init --cone (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787760502477 Source: api / install.js Lines: 7 total, last 7 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git sparse-checkout set server-components seeds (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787760509597 Source: api / install.js Lines: 32 total, last 32 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git checkout a1ae46a remote: Enumerating objects: 49, done. remote: Counting objects: 100% (22/22), done. remote: Compressing objects: 100% (21/21), done. remote: Total 49 (delta 3), reused 1 (delta 1), pack-reused 27 (from 1) Receiving objects: 100% (49/49), 9.05 MiB | 8.15 MiB/s, done. Resolving deltas: 100% (3/3), done. Updating files: 100% (51/51), done. Note: switching to 'a1ae46a'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by switching back to a branch. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -c with the switch command. Example: git switch -c Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at a1ae46a Merge pull request #104 from Overworldai/torch-2.11 (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787760519067 Source: api / install.js Lines: 91 total, last 91 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome\server-components>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & python -m venv C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv & C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Scripts\activate C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv & C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Scripts\deactivate & C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Scripts\activate C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv && uv sync Using CPython 3.12.13 Removed virtual environment at: .venv Creating virtual environment at: .venv Resolved 96 packages in 2m 28s Built taehv @ https://github.com/madebyollin/taehv/archive/7dc60ec6601af2e668e31bc70acc4cb3665e4c22.zip Built gemlite @ https://github.com/dropbox/gemlite/archive/ebfcc197d694acd4ca8dfaadf5fceb3570401df3.zip Built world-engine @ https://github.com/Overworldai/world_engine/archive/refs/tags/1.5.5.zip Prepared 52 packages in 4m 47s Installed 75 packages in 8.12s + accelerate==1.12.0 + annotated-doc==0.0.5 + annotated-types==0.8.0 + antlr4-python3-runtime==4.9.3 + anyio==4.14.2 + bitsandbytes==0.49.2 + certifi==2026.7.22 + charset-normalizer==3.5.1 + click==8.5.0 + cloudpickle==3.1.2 + colorama==0.4.6 + diffusers==0.39.0 + diskcache==5.6.3 + einops==0.8.2 + fastapi==0.135.3 + filelock==3.32.4 + fsspec==2026.7.0 + ftfy==6.3.1 + gemlite==0.5.1.post1 (from https://github.com/dropbox/gemlite/archive/ebfcc197d694acd4ca8dfaadf5fceb3570401df3.zip) + gguf==0.19.0 + h11==0.16.0 + hf-xet==1.4.3 + httpcore==1.0.9 + httpx==0.28.1 + huggingface-hub==1.18.0 + idna==3.19 + imageio-ffmpeg==0.6.0 + importlib-metadata==9.0.0 + jinja2==3.1.6 + llama-cpp-python==0.3.36+cu128.basic (from https://github.com/JamePeng/llama-cpp-python/releases/download/v0.3.36-cu128-Basic-win-20260417/llama_cpp_python-0.3.36%2Bcu128.basic-cp312-cp312-win_amd64.whl) + markdown-it-py==4.2.0 + markupsafe==3.0.3 + mdurl==0.1.2 + mpmath==1.3.0 + networkx==3.6.1 + numpy==2.3.2 + nvidia-ml-py==13.595.45 + omegaconf==2.3.1 + orjson==3.12.0 + packaging==25.0 + pillow==12.2.0 + psutil==7.1.3 + py-cpuinfo==9.0.0 + pydantic==2.13.4 + pydantic-core==2.46.4 + pygments==2.21.0 + pyvers==0.1.0 + pyyaml==6.0.3 + regex==2026.7.19 + requests==2.34.2 + rich==15.0.0 + safetensors==0.8.0 + setuptools==81.0.0 + shellingham==1.5.4 + simplejpeg==1.9.0 + starlette==1.6.0 + sympy==1.14.0 + taehv==0.1.0 (from https://github.com/madebyollin/taehv/archive/7dc60ec6601af2e668e31bc70acc4cb3665e4c22.zip) + tensordict==0.10.0 + timm==1.0.26 + tokenizers==0.23.1 + torch==2.11.0+cu128 + torchvision==0.26.0+cu128 + tqdm==4.70.0 + transformers==5.16.1 + triton-windows==3.6.0.post26 + typer==0.25.1 + typing-extensions==4.16.0 +typing-inspection==0.4.4 + urllib3==2.7.0 + uvicorn==0.44.0 + wcwidth==0.8.2 + websockets==16.0 + world-engine==1.5.0 (from https://github.com/Overworldai/world_engine/archive/refs/tags/1.5.5.zip) + zipp==4.1.0 (.venv) (base) C:\pinokio\api\overworld.pinokio.git\app\biome\server-components> ``` ### logs/api/install.js/1787760995199 Source: api / install.js Lines: 582 total, last 582 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome\server-components>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Scripts\activate C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv && uv run python ../../prepare_profile.py --profile low Uninstalled 1 package in 91ms Installed 1 package in 70ms [prepare] Profile: Low VRAM 360p INT8 [prepare] Model: Overworld/Waypoint-1.5-1B-360P quant=intw8a8 [prepare] Seed: C:\pinokio\api\overworld.pinokio.git\app\biome\seeds\default.jpg [prepare] Downloading/loading model files C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\cuda\__init__.py:209: UserWarning: expandable_segments not supported on this platform (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10/cuda/CUDAAllocatorConfig.h:39.) torch.tensor([1.0], dtype=torch.bfloat16, device=device) 0%| | 0/1 [00:00}>>' acc = tl.dot(a, b.to(input_dtype), acc=acc, out_dtype=acc_dtype) ^ module { tt.func public @gemm_INT_kernel(%arg0: !tt.ptr {tt.divisibility = 16 : i32}, %arg1: !tt.ptr {tt.divisibility = 16 : i32}, %arg2: !tt.ptr {tt.divisibility = 16 : i32}, %arg3: !tt.ptr {tt.divisibility = 16 : i32}, %arg4: !tt.ptr {tt.divisibility = 16 : i32}, %arg5: !tt.ptr {tt.divisibility = 16 : i32}, %arg6: i32 {tt.divisibility = 16 : i32}, %arg7: i32 {tt.divisibility = 16 : i32}, %arg8: i32 {tt.divisibility = 16 : i32}, %arg9: i32 {tt.divisibility = 16 : i32}, %arg10: i32 {tt.divisibility = 16 : i32}, %arg11: i32 {tt.divisibility = 16 : i32}, %arg12: i32 {tt.divisibility = 16 : i32}, %arg13: i1) attributes {noinline = false} { %cst = arith.constant dense<0> : tensor<64x32xi32> %c63_i32 = arith.constant 63 : i32 %c8_i32 = arith.constant 8 : i32 %c31_i32 = arith.constant 31 : i32 %cst_0 = arith.constant dense<1.000000e+00> : tensor<32xf32> %cst_1 = arith.constant dense<1.000000e+00> : tensor<64xf32> %cst_2 = arith.constant dense<0> : tensor<64x32xi8> %c1_i32 = arith.constant 1 : i32 %c0_i32 = arith.constant 0 : i32 %cst_3 = arith.constant dense<32> : tensor<32x32xi32> %cst_4 = arith.constant dense<32> : tensor<64x32xi32> %c32_i32 = arith.constant 32 : i32 %c64_i32 = arith.constant 64 : i32 %0 = tt.get_program_id x : i32 %1 = arith.addi %arg6, %c63_i32 : i32 %2 = arith.divsi %1, %c64_i32 : i32 %3 = arith.addi %arg7, %c31_i32 : i32 %4 = arith.divsi %3, %c32_i32 : i32 %5 = arith.muli %4, %c8_i32 : i32 %6 = arith.divsi %0, %5 : i32 %7 = arith.muli %6, %c8_i32 : i32 %8 = arith.subi %2, %7 : i32 %9 = arith.minsi %8, %c8_i32 : i32 %10 = arith.remsi %0, %9 : i32 %11 = arith.addi %7, %10 : i32 %12 = arith.remsi %0, %5 : i32 %13 = arith.divsi %12, %9 : i32 %14 = arith.addi %arg8, %c31_i32 : i32 %15 = arith.divsi %14, %c32_i32 : i32 %16 = arith.muli %11, %c64_i32 : i32 %17 = tt.make_range {end = 64 : i32, start = 0 : i32} : tensor<64xi32> %18 = tt.splat %16 : i32 -> tensor<64xi32> %19 = arith.addi %18, %17 {tt.contiguity = dense<64> : tensor<1xi32>, tt.divisibility = dense<64> : tensor<1xi32>} : tensor<64xi32> %20 = arith.muli %13, %c32_i32 : i32 %21 = tt.make_range {end = 32 : i32, start = 0 : i32} : tensor<32xi32> %22 = tt.splat %20 : i32 -> tensor<32xi32> %23 = arith.addi %22, %21 : tensor<32xi32> %24 = tt.expand_dims %21 {axis = 1 : i32} : tensor<32xi32> -> tensor<32x1xi32> %25 = tt.expand_dims %23 {axis = 0 : i32} : tensor<32xi32> -> tensor<1x32xi32> %26 = tt.splat %arg11 : i32 -> tensor<1x32xi32> %27 = arith.muli %25, %26 : tensor<1x32xi32> %28 = tt.broadcast %24 : tensor<32x1xi32> -> tensor<32x32xi32> %29 = tt.broadcast %27 : tensor<1x32xi32> -> tensor<32x32xi32> %30 = arith.addi %28, %29 : tensor<32x32xi32> %31 = tt.splat %arg1 : !tt.ptr -> tensor<32x32x!tt.ptr> %32 = tt.addptr %31, %30 : tensor<32x32x!tt.ptr>, tensor<32x32xi32> %33 = tt.expand_dims %19 {axis = 1 : i32} : tensor<64xi32> -> tensor<64x1xi32> %34 = tt.splat %arg10 : i32 -> tensor<64x1xi32> %35 = arith.muli %33, %34 : tensor<64x1xi32> %36 = tt.expand_dims %21 {axis = 0 : i32} : tensor<32xi32> -> tensor<1x32xi32> %37 = tt.broadcast %35 : tensor<64x1xi32> -> tensor<64x32xi32> %38 = tt.broadcast %36 : tensor<1x32xi32> -> tensor<64x32xi32> %39 = arith.addi %37, %38 : tensor<64x32xi32> %40 = tt.splat %arg0 : !tt.ptr -> tensor<64x32x!tt.ptr> %41 = tt.addptr %40, %39 : tensor<64x32x!tt.ptr>, tensor<64x32xi32> %42 = tt.splat %arg6 : i32 -> tensor<64x1xi32> %43 = arith.cmpi slt, %33, %42 : tensor<64x1xi32> %44 = tt.splat %arg8 : i32 -> tensor<1x32xi32> %45 = arith.cmpi slt, %36, %44 : tensor<1x32xi32> %46 = tt.broadcast %43 : tensor<64x1xi1> -> tensor<64x32xi1> %47 = tt.broadcast %45 : tensor<1x32xi1> -> tensor<64x32xi1> %48 = arith.andi %46, %47 : tensor<64x32xi1> %49:3 = scf.for %arg14 = %c0_i32 to %15 step %c1_i32 iter_args(%arg15 = %32, %arg16 = %41, %arg17 = %cst) -> (tensor<32x32x!tt.ptr>, tensor<64x32x!tt.ptr>, tensor<64x32xi32>) : i32 { %85 = tt.load %arg16, %48, %cst_2 : tensor<64x32x!tt.ptr> %86 = tt.load %arg15 : tensor<32x32x!tt.ptr> %87 = tt.dot %85, %86, %arg17, inputPrecision = tf32 : tensor<64x32xi8> * tensor<32x32xi8> -> tensor<64x32xi32> %88 = tt.addptr %arg16, %cst_4 : tensor<64x32x!tt.ptr>, tensor<64x32xi32> %89 = tt.addptr %arg15, %cst_3 : tensor<32x32x!tt.ptr>, tensor<32x32xi32> scf.yield %89, %88, %87 : tensor<32x32x!tt.ptr>, tensor<64x32x!tt.ptr>, tensor<64x32xi32> } %50 = tt.splat %arg6 : i32 -> tensor<64xi32> %51 = arith.cmpi slt, %19, %50 : tensor<64xi32> %52 = tt.splat %arg5 : !tt.ptr -> tensor<64x!tt.ptr> %53 = tt.addptr %52, %19 : tensor<64x!tt.ptr>, tensor<64xi32> %54 = tt.load %53, %51, %cst_1 : tensor<64x!tt.ptr> %55 = tt.splat %arg7 : i32 -> tensor<32xi32> %56 = arith.cmpi slt, %23, %55 : tensor<32xi32> %57 = tt.splat %arg3 : !tt.ptr -> tensor<32x!tt.ptr> %58 = tt.addptr %57, %23 : tensor<32x!tt.ptr>, tensor<32xi32> %59 = tt.load %58, %56, %cst_0 : tensor<32x!tt.ptr> %60 = arith.sitofp %49#2 : tensor<64x32xi32> to tensor<64x32xf32> %61 = tt.expand_dims %54 {axis = 1 : i32} : tensor<64xf32> -> tensor<64x1xf32> %62 = tt.expand_dims %59 {axis = 0 : i32} : tensor<32xf32> -> tensor<1x32xf32> %63 = tt.broadcast %61 : tensor<64x1xf32> -> tensor<64x32xf32> %64 = tt.broadcast %62 : tensor<1x32xf32> -> tensor<64x32xf32> %65 = arith.mulf %63, %64 : tensor<64x32xf32> %66 = arith.mulf %60, %65 : tensor<64x32xf32> %67 = arith.truncf %66 : tensor<64x32xf32> to tensor<64x32xbf16> %68 = arith.addi %18, %17 : tensor<64xi32> %69 = arith.addi %22, %21 {tt.contiguity = dense<32> : tensor<1xi32>, tt.divisibility = dense<32> : tensor<1xi32>} : tensor<32xi32> %70 = tt.expand_dims %68 {axis = 1 : i32} : tensor<64xi32> -> tensor<64x1xi32> %71 = tt.splat %arg12 : i32 -> tensor<64x1xi32> %72 = arith.muli %70, %71 : tensor<64x1xi32> %73 = tt.expand_dims %69 {axis = 0 : i32} : tensor<32xi32> -> tensor<1x32xi32> %74 = tt.broadcast %72 : tensor<64x1xi32> -> tensor<64x32xi32> %75 = tt.broadcast %73 : tensor<1x32xi32> -> tensor<64x32xi32> %76 = arith.addi %74, %75 : tensor<64x32xi32> %77 = tt.splat %arg2 : !tt.ptr -> tensor<64x32x!tt.ptr> %78 = tt.addptr %77, %76 : tensor<64x32x!tt.ptr>, tensor<64x32xi32> %79 = arith.cmpi slt, %70, %42 : tensor<64x1xi32> %80 = tt.splat %arg7 :i32 -> tensor<1x32xi32> %81 = arith.cmpi slt, %73, %80 : tensor<1x32xi32> %82 = tt.broadcast %79 : tensor<64x1xi1> -> tensor<64x32xi1> %83 = tt.broadcast %81 : tensor<1x32xi1> -> tensor<64x32xi1> %84 = arith.andi %82, %83 : tensor<64x32xi1> tt.store %78, %67, %84 : tensor<64x32x!tt.ptr> tt.return } } {-# external_resources: { mlir_reproducer: { pipeline: "builtin.module(convert-triton-to-tritongpu{enable-source-remat=false num-ctas=1 num-warps=4 target=cuda:75 threads-per-warp=32}, tritongpu-coalesce, tritongpu-F32DotTC{emu-tf32=false}, triton-nvidia-gpu-plan-cta, tritongpu-remove-layout-conversions, tritongpu-optimize-thread-locality, tritongpu-accelerate-matmul, tritongpu-remove-layout-conversions, tritongpu-optimize-dot-operands{hoist-layout-conversion=false}, triton-nvidia-optimize-descriptor-encoding, triton-loop-aware-cse, triton-licm, canonicalize{ max-iterations=10 max-num-rewrites=-1 region-simplify=normal test-convergence=false top-down=true}, triton-loop-aware-cse, tritongpu-prefetch, tritongpu-optimize-dot-operands{hoist-layout-conversion=false}, tritongpu-coalesce-async-copy, triton-nvidia-optimize-tmem-layouts, tritongpu-remove-layout-conversions, triton-nvidia-interleave-tmem, tritongpu-reduce-data-duplication, tritongpu-reorder-instructions, triton-loop-aware-cse, symbol-dce, triton-nvidia-gpu-fence-insertion{compute-capability=75}, triton-nvidia-mma-lowering, sccp, cse, canonicalize{ max-iterations=10 max-num-rewrites=-1 region-simplify=normal test-convergence=false top-down=true})", disable_threading: true, verify_each: true } } #-} C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\gemlite\triton_kernels\gemm_kernels.py:249:0: error: Failures have been detected while processing an MLIR pass pipeline C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\gemlite\triton_kernels\gemm_kernels.py:249:0: note: Pipeline failed while executing [`TritonGPUAccelerateMatmul` on 'builtin.module' operation]: reproducer generated at `std::errs, please share the reproducer above with Triton project.` Traceback (most recent call last): File "C:\pinokio\api\overworld.pinokio.git\app\prepare_profile.py", line 208, in main() File "C:\pinokio\api\overworld.pinokio.git\app\prepare_profile.py", line 204, in main asyncio.run(prepare(args.profile, args.seed)) File "C:\Users\mesut\AppData\Roaming\uv\python\cpython-3.12-windows-x86_64-none\Lib\asyncio\runners.py", line 195, in run return runner.run(main) ^^^^^^^^^^^^^^^^ File "C:\Users\mesut\AppData\Roaming\uv\python\cpython-3.12-windows-x86_64-none\Lib\asyncio\runners.py", line 118, in run return self._loop.run_until_complete(task) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\mesut\AppData\Roaming\uv\python\cpython-3.12-windows-x86_64-none\Lib\asyncio\base_events.py", line 691, in run_until_complete return future.result() ^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\prepare_profile.py", line 152, in prepare await manager.warmup() File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\engine_manager.py", line 656, in warmup warmup_time = await self._run_on_cuda_thread(do_warmup) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\engine_manager.py", line 214, in _run_on_cuda_thread return await loop.run_in_executor(self.cuda_executor, fn) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\mesut\AppData\Roaming\uv\python\cpython-3.12-windows-x86_64-none\Lib\concurrent\futures\thread.py", line 59, in run result = self.fn(*self.args, **self.kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\engine_manager.py", line 619, in do_warmup self.engine.append_frame(self.seed_frame) File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\world_engine\world_engine.py", line 143, in append_frame self._cache_pass(x0, inputs, self.kv_cache) File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\_dynamo\eval_frame.py", line 1024, in compile_wrapper return fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\world_engine\world_engine.py", line 198, in _cache_pass self.model(x, x.new_zeros((x.size(0), x.size(1))), **ctx, kv_cache=kv_cache) File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1779, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1790, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\world_engine\model\world_model.py", line 347, in forward x = self.transformer(x, pos_ids, cond, ctx, kv_cache) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1779, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1790, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\world_engine\model\world_model.py", line 251, in forward x, v = block(x, pos_ids, rope_angles, cond, ctx, v, kv_cache=kv_cache) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1779, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1790, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\world_engine\model\world_model.py", line 213, in forward x, v = self.attn(x, pos_ids, rope_angles, v, kv_cache=kv_cache) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1779, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1790, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\world_engine\patch_model.py", line 117, in forward q, k, v = self.qkv_proj(x).split((self.q_out, self.kv_out, self.kv_out), dim=-1) ^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1779, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1790, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\world_engine\quantize.py", line 270, in forward return self.impl(x).type_as(x) ^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1779, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1790, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\gemlite\core.py", line 552, in forward_auto_no_warmup return forward_functional( ^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\_library\custom_ops.py", line 698, in __call__ return self._opoverload(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\_ops.py", line 865, in __call__ return self._op(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\_library\custom_ops.py", line 347, in backend_impl result = self._backend_fns[device_type](*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\_compile.py", line 54, in inner return disable_fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\_dynamo\eval_frame.py", line 1263, in _fn return fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\_library\custom_ops.py", line 382, in wrapped_fn return fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\gemlite\core.py", line 185, in forward_functional GEMLITE_TRITON_MAPPING[matmul_type_str] File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\gemlite\triton_kernels\gemm_kernels.py", line 575, in gemm_forward gemm_kernel[grid]( File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\triton\runtime\jit.py", line 370, in return lambda *args, **kwargs: self.run(grid=grid, warmup=False, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\triton\runtime\autotuner.py", line 240, in run benchmark() File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\triton\runtime\autotuner.py", line 229, in benchmark timings = {config: self._bench(*args, config=config, **kwargs) for config in pruned_configs} ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\triton\runtime\autotuner.py", line 164, in _bench return self.do_bench(kernel_call, quantiles=(0.5, 0.2, 0.8)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\triton\testing.py", line 149, in do_bench fn() File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\triton\runtime\autotuner.py", line 150, in kernel_call self.fn.run( File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\triton\runtime\jit.py", line 720, in run kernel = self._do_compile(key, signature, device, constexprs, options, attrs, warmup) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\triton\runtime\jit.py", line 849, in _do_compile kernel = self.compile(src, target=target, options=options.__dict__) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\triton\compiler\compiler.py", line 324, in compile next_module = compile_ir(module, metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\triton\backends\nvidia\compiler.py", line 550, in stages["ttgir"] = lambda src, metadata: self.make_ttgir(src, metadata, options, capability) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\triton\backends\nvidia\compiler.py", line 325, in make_ttgir pm.run(mod, 'make_ttgir') RuntimeError: PassManager::run failed ``` ### logs/api/install.js/1787762056937 Source: api / install.js Lines: 9 total, last 9 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git fetch origin main From https://github.com/Overworldai/Biome * branch main -> FETCH_HEAD (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787762066388 Source: api / install.js Lines: 7 total, last 7 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git sparse-checkout init --cone (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787762073006 Source: api / install.js Lines: 7 total, last 7 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git sparse-checkout set server-components seeds (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787762079555 Source: api / install.js Lines: 8 total, last 8 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git checkout a1ae46a HEAD is now at a1ae46a Merge pull request #104 from Overworldai/torch-2.11 (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787762086080 Source: api / install.js Lines: 12 total, last 12 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome\server-components>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Scripts\activate C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv && uv sync Resolved 96 packages in 2.65s Uninstalled 1 package in 100ms Installed 1 package in 68ms - llama-cpp-python==0.3.36 (from https://github.com/JamePeng/llama-cpp-python/releases/download/v0.3.36-cu128-Basic-win-20260417/llama_cpp_python-0.3.36%2Bcu128.basic-cp312-cp312-win_amd64.whl) + llama-cpp-python==0.3.36+cu128.basic (from https://github.com/JamePeng/llama-cpp-python/releases/download/v0.3.36-cu128-Basic-win-20260417/llama_cpp_python-0.3.36%2Bcu128.basic-cp312-cp312-win_amd64.whl) (biome-server) (base) C:\pinokio\api\overworld.pinokio.git\app\biome\server-components> ``` ### logs/api/install.js/1787762095937 Source: api / install.js Lines: 158 total, last 158 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome\server-components>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Scripts\activate C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv && uv run python ../../prepare_profile.py --profile low Uninstalled 1 package in 104ms Installed 1 package in 70ms [prepare] Profile: Low VRAM 360p INT8 [prepare] Model: Overworld/Waypoint-1.5-1B-360P quant=intw8a8 [prepare] Seed: C:\pinokio\api\overworld.pinokio.git\app\biome\seeds\default.jpg [prepare] Downloading/loading model files C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\cuda\__init__.py:209: UserWarning: expandable_segments not supported on this platform (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10/cuda/CUDAAllocatorConfig.h:39.) torch.tensor([1.0], dtype=torch.bfloat16, device=device) [prepare] Loading WorldEngine code [prepare] Loading model Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. Fetching 3 files: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 865.70it/s] Download complete: : 0.00B [00:00, ?B/s] | 0/3 [00:00}>>' acc = tl.dot(a, b.to(input_dtype), acc=acc, out_dtype=acc_dtype) ^ module { tt.func public @gemm_INT_kernel(%arg0: !tt.ptr {tt.divisibility = 16 : i32}, %arg1: !tt.ptr {tt.divisibility = 16 : i32}, %arg2: !tt.ptr {tt.divisibility = 16 : i32}, %arg3: !tt.ptr {tt.divisibility = 16 : i32}, %arg4: !tt.ptr {tt.divisibility = 16 : i32}, %arg5: !tt.ptr {tt.divisibility = 16 : i32}, %arg6: i32 {tt.divisibility = 16 : i32}, %arg7: i32 {tt.divisibility = 16 : i32}, %arg8: i32 {tt.divisibility = 16 : i32}, %arg9: i32 {tt.divisibility = 16 : i32}, %arg10: i32 {tt.divisibility = 16 : i32}, %arg11: i32 {tt.divisibility = 16 : i32}, %arg12: i32 {tt.divisibility = 16 : i32}, %arg13: i1) attributes {noinline = false} { %cst = arith.constant dense<0> : tensor<64x32xi32> %c63_i32 = arith.constant 63 : i32 %c8_i32 = arith.constant 8 : i32 %c31_i32 = arith.constant 31 : i32 %cst_0 = arith.constant dense<1.000000e+00> : tensor<32xf32> %cst_1 = arith.constant dense<1.000000e+00> : tensor<64xf32> %cst_2 = arith.constant dense<0> : tensor<64x32xi8> %c1_i32 = arith.constant 1 : i32 %c0_i32 = arith.constant 0 : i32 %cst_3 = arith.constant dense<32> : tensor<32x32xi32> %cst_4 = arith.constant dense<32> : tensor<64x32xi32> %c32_i32 = arith.constant 32 : i32 %c64_i32 = arith.constant 64 : i32 %0 = tt.get_program_id x : i32 %1 = arith.addi %arg6, %c63_i32 : i32 %2 = arith.divsi %1, %c64_i32 : i32 %3 = arith.addi %arg7, %c31_i32 : i32 %4 = arith.divsi %3, %c32_i32 : i32 %5 = arith.muli %4, %c8_i32 : i32 %6 = arith.divsi %0, %5 : i32 %7 = arith.muli %6, %c8_i32 : i32 %8 = arith.subi %2, %7 : i32 %9 = arith.minsi %8, %c8_i32 : i32 %10 = arith.remsi %0, %9 : i32 %11 = arith.addi %7, %10 : i32 %12 = arith.remsi %0, %5: i32 %13 = arith.divsi %12, %9 : i32 %14 = arith.addi %arg8, %c31_i32 : i32 %15 = arith.divsi %14, %c32_i32 : i32 %16 = arith.muli %11, %c64_i32 : i32 %17 = tt.make_range {end = 64 : i32, start = 0 : i32} : tensor<64xi32> %18 = tt.splat %16 : i32 -> tensor<64xi32> %19 = arith.addi %18, %17 {tt.contiguity = dense<64> : tensor<1xi32>, tt.divisibility = dense<64> : tensor<1xi32>} : tensor<64xi32> %20 = arith.muli %13, %c32_i32 : i32 %21 = tt.make_range {end = 32 : i32, start = 0 : i32} : tensor<32xi32> %22 = tt.splat %20 : i32 -> tensor<32xi32> %23 = arith.addi %22, %21 : tensor<32xi32> %24 = tt.expand_dims %21 {axis = 1 : i32} : tensor<32xi32> -> tensor<32x1xi32> %25 = tt.expand_dims %23 {axis = 0 : i32} : tensor<32xi32> -> tensor<1x32xi32> %26 = tt.splat %arg11 : i32 -> tensor<1x32xi32> %27 = arith.muli %25, %26 : tensor<1x32xi32> %28 = tt.broadcast %24 : tensor<32x1xi32> -> tensor<32x32xi32> %29 = tt.broadcast %27 : tensor<1x32xi32> -> tensor<32x32xi32> %30 = arith.addi %28, %29 : tensor<32x32xi32> %31 = tt.splat %arg1 : !tt.ptr -> tensor<32x32x!tt.ptr> %32 = tt.addptr %31, %30 : tensor<32x32x!tt.ptr>, tensor<32x32xi32> %33 = tt.expand_dims %19 {axis = 1 : i32} : tensor<64xi32> -> tensor<64x1xi32> %34 = tt.splat %arg10 : i32 -> tensor<64x1xi32> %35 = arith.muli %33, %34 : tensor<64x1xi32> %36 = tt.expand_dims %21 {axis = 0 : i32} : tensor<32xi32> -> tensor<1x32xi32> %37 = tt.broadcast %35 : tensor<64x1xi32> -> tensor<64x32xi32> %38 = tt.broadcast %36 : tensor<1x32xi32> -> tensor<64x32xi32> %39 = arith.addi %37, %38 : tensor<64x32xi32> %40 = tt.splat %arg0 : !tt.ptr -> tensor<64x32x!tt.ptr> %41 = tt.addptr %40, %39 : tensor<64x32x!tt.ptr>, tensor<64x32xi32> %42 = tt.splat %arg6 : i32 -> tensor<64x1xi32> %43 = arith.cmpi slt, %33, %42 : tensor<64x1xi32> %44 = tt.splat %arg8 : i32 -> tensor<1x32xi32> %45 = arith.cmpi slt, %36, %44 : tensor<1x32xi32> %46 = tt.broadcast %43 : tensor<64x1xi1> -> tensor<64x32xi1> %47 = tt.broadcast %45 : tensor<1x32xi1> -> tensor<64x32xi1> %48 = arith.andi %46, %47 : tensor<64x32xi1> ``` ### logs/api/install.js/1787764702507 Source: api / install.js Lines: 9 total, last 9 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git fetch origin main From https://github.com/Overworldai/Biome * branch main -> FETCH_HEAD (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787764710079 Source: api / install.js Lines: 7 total, last 7 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git sparse-checkout init --cone (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787764716585 Source: api / install.js Lines: 7 total, last 7 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git sparse-checkout set server-components seeds (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787764723002 Source: api / install.js Lines: 8 total, last 8 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git checkout a1ae46a HEAD is now at a1ae46a Merge pull request #104 from Overworldai/torch-2.11 (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787764729471 Source: api / install.js Lines: 12 total, last 12 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome\server-components>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Scripts\activate C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv && uv sync Resolved 96 packages in 2.98s Uninstalled 1 package in 93ms Installed 1 package in 69ms - llama-cpp-python==0.3.36 (from https://github.com/JamePeng/llama-cpp-python/releases/download/v0.3.36-cu128-Basic-win-20260417/llama_cpp_python-0.3.36%2Bcu128.basic-cp312-cp312-win_amd64.whl) + llama-cpp-python==0.3.36+cu128.basic (from https://github.com/JamePeng/llama-cpp-python/releases/download/v0.3.36-cu128-Basic-win-20260417/llama_cpp_python-0.3.36%2Bcu128.basic-cp312-cp312-win_amd64.whl) (biome-server) (base) C:\pinokio\api\overworld.pinokio.git\app\biome\server-components> ``` ### logs/api/install.js/1787764739274 Source: api / install.js Lines: 146 total, last 146 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome\server-components>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Scripts\activate C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv && uv run python ../../prepare_profile.py --profile low Uninstalled 1 package in 97ms Installed 1 package in 68ms [prepare] Profile: Low VRAM 360p INT8 [prepare] Model: Overworld/Waypoint-1.5-1B-360P quant=intw8a8 [prepare] Seed: C:\pinokio\api\overworld.pinokio.git\app\biome\seeds\default.jpg [prepare] Downloading/loading model files C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\cuda\__init__.py:209: UserWarning: expandable_segments not supported on this platform (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10/cuda/CUDAAllocatorConfig.h:39.) torch.tensor([1.0], dtype=torch.bfloat16, device=device) [prepare] Loading WorldEngine code [prepare] Loading model Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. Fetching 3 files: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 1012.95it/s] Download complete: : 0.00B [00:00, ?B/s] | 0/3 [00:00}>>' acc = tl.dot(a, b.to(input_dtype), acc=acc, out_dtype=acc_dtype) ^ module { tt.func public @gemm_INT_kernel(%arg0: !tt.ptr {tt.divisibility = 16 : i32}, %arg1: !tt.ptr {tt.divisibility = 16 : i32}, %arg2: !tt.ptr {tt.divisibility = 16 : i32}, %arg3: !tt.ptr {tt.divisibility = 16 : i32}, %arg4: !tt.ptr {tt.divisibility = 16 : i32}, %arg5: !tt.ptr {tt.divisibility = 16 : i32}, %arg6: i32 {tt.divisibility = 16 : i32}, %arg7: i32 {tt.divisibility = 16 : i32}, %arg8: i32 {tt.divisibility = 16 : i32}, %arg9: i32 {tt.divisibility = 16 : i32}, %arg10: i32 {tt.divisibility = 16 : i32}, %arg11: i32 {tt.divisibility = 16 : i32}, %arg12: i32 {tt.divisibility = 16 : i32}, %arg13: i1) attributes {noinline = false} { %cst = arith.constant dense<0> : tensor<64x32xi32> %c63_i32 = arith.constant 63 : i32 %c8_i32 = arith.constant 8 : i32 %c31_i32 = arith.constant 31 : i32 %cst_0 = arith.constant dense<1.000000e+00> : tensor<32xf32> %cst_1 = arith.constant dense<1.000000e+00> : tensor<64xf32> %cst_2 = arith.constant dense<0> : tensor<64x32xi8> %c1_i32 = arith.constant 1 : i32 %c0_i32 = arith.constant 0 : i32 %cst_3 = arith.constant dense<32> : tensor<32x32xi32> %cst_4 = arith.constant dense<32> : tensor<64x32xi32> %c32_i32 = arith.constant 32 : i32 %c64_i32 = arith.constant 64 : i32 %0 = tt.get_program_id x : i32 %1 = arith.addi %arg6, %c63_i32 : i32 %2 = arith.divsi %1, %c64_i32 : i32 %3 = arith.addi %arg7, %c31_i32 : i32 %4 = arith.divsi %3, %c32_i32 : i32 %5 = arith.muli %4, %c8_i32 : i32 %6 = arith.divsi %0, %5 : i32 %7 = arith.muli %6, %c8_i32 : i32 %8 = arith.subi %2, %7 : i32 %9 = arith.minsi %8, %c8_i32 : i32 %10 = arith.remsi %0, %9 : i32 %11 = arith.addi %7, %10 : i32 %12 = arith.remsi %0, %5 : i32 %13 = arith.divsi %12, %9 : i32 %14 = arith.addi %arg8, %c31_i32 : i32 %15 = arith.divsi %14, %c32_i32 : i32 %16 = arith.muli %11, %c64_i32 : i32 %17 = tt.make_range {end = 64 : i32, start = 0 : i32} : tensor<64xi32> %18 = tt.splat %16 : i32 -> tensor<64xi32> %19 = arith.addi %18, %17 {tt.contiguity = dense<64> : tensor<1xi32>, tt.divisibility = dense<64> : tensor<1xi32>} : tensor<64xi32> %20 = arith.muli %13, %c32_i32 : i32 %21 = tt.make_range {end = 32 : i32, start = 0 : i32} : tensor<32xi32> %22 = tt.splat %20 : i32 -> tensor<32xi32> %23 = arith.addi %22, %21 : tensor<32xi32> %24 = tt.expand_dims %21 {axis = 1 : i32} : tensor<32xi32> -> tensor<32x1xi32> %25 = tt.expand_dims %23 {axis = 0 : i32} : tensor<32xi32> -> tensor<1x32xi32> %26 = tt.splat %arg11 : i32 -> tensor<1x32xi32> %27 = arith.muli %25, %26 : tensor<1x32xi32> %28 = tt.broadcast %24 : tensor<32x1xi32> -> tensor<32x32xi32> %29 = tt.broadcast %27 : tensor<1x32xi32> -> tensor<32x32xi32> %30 = arith.addi %28, %29 : tensor<32x32xi32> %31 = tt.splat %arg1 : !tt.ptr -> tensor<32x32x!tt.ptr> %32 = tt.addptr %31, %30 : tensor<32x32x!tt.ptr>, tensor<32x32xi32> %33 = tt.expand_dims %19 {axis = 1 : i32} : tensor<64xi32> -> tensor<64x1xi32> %34 = tt.splat %arg10 : i32 -> tensor<64x1xi32> %35 = arith.muli %33, %34 : tensor<64x1xi32> %36 = tt.expand_dims %21 {axis = 0 : i32} : tensor<32xi32> -> tensor<1x32xi32> %37 = tt.broadcast %35 : tensor<64x1xi32> -> tensor<64x32xi32> ``` ### logs/api/install.js/1787767245560 Source: api / install.js Lines: 9 total, last 9 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git fetch origin main From https://github.com/Overworldai/Biome * branch main -> FETCH_HEAD (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787767252915 Source: api / install.js Lines: 7 total, last 7 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git sparse-checkout init --cone (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787767259413 Source: api / install.js Lines: 7 total, last 7 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git sparse-checkout set server-components seeds (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787767265758 Source: api / install.js Lines: 8 total, last 8 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base && git checkout a1ae46a HEAD is now at a1ae46a Merge pull request #104 from Overworldai/torch-2.11 (base) C:\pinokio\api\overworld.pinokio.git\app\biome> ``` ### logs/api/install.js/1787767272178 Source: api / install.js Lines: 12 total, last 12 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome\server-components>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Scripts\activate C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv && uv sync Resolved 96 packages in 2.65s Uninstalled 1 package in 89ms Installed 1 package in 67ms - llama-cpp-python==0.3.36 (from https://github.com/JamePeng/llama-cpp-python/releases/download/v0.3.36-cu128-Basic-win-20260417/llama_cpp_python-0.3.36%2Bcu128.basic-cp312-cp312-win_amd64.whl) + llama-cpp-python==0.3.36+cu128.basic (from https://github.com/JamePeng/llama-cpp-python/releases/download/v0.3.36-cu128-Basic-win-20260417/llama_cpp_python-0.3.36%2Bcu128.basic-cp312-cp312-win_amd64.whl) (biome-server) (base) C:\pinokio\api\overworld.pinokio.git\app\biome\server-components> ``` ### logs/api/install.js/1787767281612 Source: api / install.js Lines: 144 total, last 144 included ```text [api shell.run] Microsoft Windows [Version 10.0.26200.9168] (c) Microsoft Corporation. Tüm hakları saklıdır. C:\pinokio\api\overworld.pinokio.git\app\biome\server-components>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Scripts\activate C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv && uv run python ../../prepare_profile.py --profile low Uninstalled 1 package in 88ms Installed 1 package in 88ms [prepare] Profile: Low VRAM 360p INT8 [prepare] Model: Overworld/Waypoint-1.5-1B-360P quant=intw8a8 [prepare] Seed: C:\pinokio\api\overworld.pinokio.git\app\biome\seeds\default.jpg [prepare] Downloading/loading model files C:\pinokio\api\overworld.pinokio.git\app\biome\server-components\.venv\Lib\site-packages\torch\cuda\__init__.py:209: UserWarning: expandable_segments not supported on this platform (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10/cuda/CUDAAllocatorConfig.h:39.) torch.tensor([1.0], dtype=torch.bfloat16, device=device) [prepare] Loading WorldEngine code [prepare] Loading model Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. Fetching 3 files: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 1012.71it/s] Download complete: : 0.00B [00:00, ?B/s] | 0/3 [00:00}>>' acc = tl.dot(a, b.to(input_dtype), acc=acc, out_dtype=acc_dtype) ^ module { tt.func public @gemm_INT_kernel(%arg0: !tt.ptr {tt.divisibility = 16 : i32}, %arg1: !tt.ptr {tt.divisibility = 16 : i32}, %arg2: !tt.ptr {tt.divisibility = 16 : i32}, %arg3: !tt.ptr {tt.divisibility = 16 : i32}, %arg4: !tt.ptr {tt.divisibility = 16 : i32}, %arg5: !tt.ptr {tt.divisibility = 16 : i32}, %arg6: i32 {tt.divisibility = 16 : i32}, %arg7: i32 {tt.divisibility = 16 : i32}, %arg8: i32 {tt.divisibility = 16 : i32}, %arg9: i32 {tt.divisibility = 16 : i32}, %arg10: i32 {tt.divisibility = 16 : i32}, %arg11: i32 {tt.divisibility = 16 : i32}, %arg12: i32 {tt.divisibility = 16 : i32}, %arg13: i1) attributes {noinline = false} { %cst = arith.constant dense<0> : tensor<64x32xi32> %c63_i32 = arith.constant 63 : i32 %c8_i32 = arith.constant 8 : i32 %c31_i32 = arith.constant 31 : i32 %cst_0 = arith.constant dense<1.000000e+00> : tensor<32xf32> %cst_1 = arith.constant dense<1.000000e+00> : tensor<64xf32> %cst_2 = arith.constant dense<0> : tensor<64x32xi8> %c1_i32 = arith.constant 1 : i32 %c0_i32 = arith.constant 0 : i32 %cst_3 = arith.constant dense<32> : tensor<32x32xi32> %cst_4 = arith.constant dense<32> : tensor<64x32xi32> %c32_i32 = arith.constant 32 : i32 %c64_i32 = arith.constant 64 : i32 %0 = tt.get_program_id x : i32 %1 = arith.addi %arg6, %c63_i32 : i32 %2 = arith.divsi %1, %c64_i32 : i32 %3 = arith.addi %arg7, %c31_i32 : i32 %4 = arith.divsi %3, %c32_i32 : i32 %5 = arith.muli %4, %c8_i32 : i32 %6 = arith.divsi %0, %5 : i32 %7 = arith.muli %6, %c8_i32 : i32 %8 = arith.subi %2, %7 : i32 %9 = arith.minsi %8, %c8_i32 : i32 %10 = arith.remsi %0, %9 : i32 %11 = arith.addi %7, %10 : i32 %12 = arith.remsi %0, %5 : i32 %13 = arith.divsi %12, %9 : i32 %14 = arith.addi %arg8, %c31_i32 : i32 %15 = arith.divsi %14, %c32_i32 : i32 %16 = arith.muli %11, %c64_i32 : i32 %17 = tt.make_range {end = 64 : i32, start = 0 : i32} : tensor<64xi32> %18 = tt.splat %16 : i32 -> tensor<64xi32> %19 = arith.addi %18, %17 {tt.contiguity = dense<64> : tensor<1xi32>, tt.divisibility = dense<64> : tensor<1xi32>} : tensor<64xi32> %20 = arith.muli %13, %c32_i32 : i32 %21 = tt.make_range {end = 32 : i32, start = 0 : i32} : tensor<32xi32> %22 = tt.splat %20 : i32 -> tensor<32xi32> %23 = arith.addi %22, %21 : tensor<32xi32> %24 = tt.expand_dims %21 {axis = 1 : i32} : tensor<32xi32> -> tensor<32x1xi32> %25 = tt.expand_dims %23 {axis = 0 : i32} : tensor<32xi32> -> tensor<1x32xi32> %26 = tt.splat %arg11 : i32 -> tensor<1x32xi32> %27 = arith.muli %25, %26 : tensor<1x32xi32> %28 = tt.broadcast %24 : tensor<32x1xi32> -> tensor<32x32xi32> %29 = tt.broadcast %27 : tensor<1x32xi32> -> tensor<32x32xi32> %30 = arith.addi %28, %29 : tensor<32x32xi32> %31 = tt.splat %arg1 : !tt.ptr -> tensor<32x32x!tt.ptr> %32 = tt.addptr %31, %30 : tensor<32x32x!tt.ptr>, tensor<32x32xi32> %33 = tt.expand_dims %19 {axis = 1 : i32} : tensor<64xi32> -> tensor<64x1xi32> %34 = tt.splat %arg10 : i32 -> tensor<64x1xi32> %35 = arith.muli %33, %34 : tensor<64x1xi32> ```

Post

We extended the Moondream3 fork with batch captioning, an HF cache panel, cross-platform launchers, and a Pinokio start.js fix, then committed and pushed to origin/master